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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Adaptive Metropolis with Online Relabeling AISTATS 2012
Controlling Selection Bias in Causal Inference AISTATS 2012
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012
Sample Complexity of Composite Likelihood AISTATS 2012
A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012
Minimax hypothesis testing for curve registration AISTATS 2012
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012
Gaussian Processes for time-marked time-series data AISTATS 2012
Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012
Protocols for Learning Classifiers on Distributed Data AISTATS 2012
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012
Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012
No Internal Regret via Neighborhood Watch AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012
Regularization Paths with Guarantees for Convex Semidefinite Optimization AISTATS 2012
Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012